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airqualityindex

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This project analyzes air quality trends in Kathmandu, Nepal, using machine learning and time-series forecasting. It predicts AQI levels in real time using Random Forest and forecasts future pollution levels (24/48/72 hours) with Facebook Prophet. An interactive Streamlit dashboard allows users to visualize trends and forecast AQI

  • Updated May 12, 2025
  • Jupyter Notebook
Air-Pollution-AQI-Website-Project

This project aims to design and develop a user-friendly website that provides real-time Air Quality Index (AQI) data, forecasts, and alerts to help individuals, communities, and organizations make informed decisions about their health and environmental sustainability. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research pap

  • Updated Jan 18, 2025

This project is part of an EngD program and serves as the core for an urban digital twin, developed without relying on a traditional game engine. Built by Daniel Adenew Wonyifraw, it provides a foundational framework for simulating, analyzing, and visualizing urban environments.

  • Updated Mar 19, 2025
  • JavaScript

This project predicts the Air Quality Index (AQI) using machine learning techniques. By analyzing historical air quality data and relevant environmental factors, it provides accurate forecasts to help raise awareness and promote healthier living conditions in urban areas.

  • Updated Nov 15, 2021

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